As a Data Lake Tooling Software Engineer at JPMorgan Chase within the CDAO Technology Development team, you serve as a seasoned member of an existing agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas, including building out the next of tools that will support our Software Pattern Detection, Prompt Execution and the GT Data Lake House capabilities.

Job Responsibilities

Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code, and reviews and debugs code written by others. Maintains algorithms that run synchronously with appropriate systems Embraces AI/RAG based technologies, not only for the of software, but through the creation of our capabilities that depend upon it. Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Adds to team culture of , equity, and respect

Required Qualifications, Capabilities and Skills

Formal training or certification on software engineering concepts and proficient advanced experience Hands-on practical experience in system design, application development, testing, and operational stability, including modelling, scaling, and object oriented concepts Proficient in coding in one or more including Java and possibly Python. Experience in the use of GPT, LLM, RAG, Gen AI, Prompt Engineering related technologies Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming and database querying . Current experience of agile methodologies such as CI/CD, Applicant Resiliency, and Security Exposure to cloud technologies (AWS or GCP) via hands on experience or certification Solid understanding of software applications and technical processes within a related technical discipline (e.g. data ingestion, data storage, data serving, APIs, etc.). Hands-on experience in data lake or data warehouse and related technologies (e.g. Spark, ETL, Databricks).

About Us

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on and at our company. We do not discriminate on the basis of any protected attribute, including , , , national , , , , expression, , marital or veteran status, or , or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' practices and beliefs, as well as mental health or physical needs. Visit our FAQs for more information about requesting an accommodation.

About The Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.